[mlpack-git] [mlpack/mlpack] Random projection trees (#726)

[lozhnikov]

> +
> +template<typename BoundType, typename MatType>
> +bool RPTreeMeanSplit<BoundType, MatType>::GetMeanMedian(
> +    const MatType& data,
> +    const arma::uvec& samples,
> +    arma::Col<ElemType>& mean,
> +    ElemType& splitVal)
> +{
> +  std::vector<ElemType> values(samples.n_elem);
> +
> +  mean.zeros(data.n_rows);
> +
> +  for (size_t k = 0; k < samples.n_elem; k++)
> +    mean += data.col(samples[k]);
> +
> +  mean /= samples.n_elem;

okay, I'll look through the armadillo code.

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